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DBMS > Elasticsearch vs. Geode vs. Kinetica vs. Microsoft Azure SQL Database vs. Quasardb

System Properties Comparison Elasticsearch vs. Geode vs. Kinetica vs. Microsoft Azure SQL Database vs. Quasardb

Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonGeode  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsDatabase as a Service offering with high compatibility to Microsoft SQL ServerDistributed, high-performance timeseries database
Primary database modelSearch engineKey-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Spatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score132.83
Rank#7  Overall
#1  Search engines
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.elastic.co/­elasticsearchgeode.apache.orgwww.kinetica.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasequasar.ai
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgeode.apache.org/­docsdocs.kinetica.comdocs.microsoft.com/­en-us/­azure/­azure-sqldoc.quasar.ai/­master
DeveloperElasticOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaMicrosoftquasardb
Initial release20102002201220102009
Current release8.6, January 20231.1, February 20177.1, August 2021V123.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC, C++C++C++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxhostedBSD
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nononoyesno
Secondary indexesyes infoAll search fields are automatically indexednoyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query languageSQL-like query language (OQL)SQL-like DML and DDL statementsyesSQL-like query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsTransact SQLno
Triggersyes infoby using the 'percolation' featureyes infoCache Event Listenersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationSource-replica replicationyes, with always 3 replicas availableSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles on table levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
ElasticsearchGeodeKineticaMicrosoft Azure SQL Database infoformerly SQL AzureQuasardb
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